We are seeking a skilled Data Quality Developer to support our data governance and quality initiatives. The ideal candidate will have strong SQL expertise, a solid understanding of the end-to-end data quality lifecycle, and hands-on experience working with Databricks to design, implement, and maintain data quality frameworks.
Key Responsibilities:
Develop, implement, and maintain data quality rules, checks, and validation processes.
Analyze data sets to identify quality gaps and propose effective remediation steps.
Work with cross-functional teams to define and improve data quality metrics and standards.
Build scalable data pipelines and workflows in Databricks to support data quality initiatives.
Document processes, maintain data quality dashboards, and ensure continuous improvements.
Required Skills:
Strong SQL skills with the ability to write complex queries.
Sound understanding of the data quality lifecycle and practical implementation experience.
* Hands-on experience with Databricks for data processing and pipeline development.
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